• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/
Menu

Digital Library


Search: "[ keyword: Deep Learning ]" (15)
  1. 1. Design of Video Pre-processing Algorithm for High-speed Processing of Maritime Object Detection System and Deep Learning based Integrated System
    Hyun-hak Song, Hyo-chan Lee, Sung-ju Lee, Ho-seok Jeon, Tae-ho Im, Vol. 21, No. 4, pp. 117-126, Aug. 2020
    10.7472/jksii.2014.4.117
    Keywords: Ship Detection, Deep Learning, image processing, Binarization, Horizon Detection, Multi Connected-component Labeling
  2. 2. Intelligent Railway Detection Algorithm Fusing Image Processing and Deep Learning for the Prevent of Unusual Events
    Ju-ho Jung, Da-hyeon Kim, Chul-su Kim, Ryum-duck Oh, Jun-ho Ahn, Vol. 21, No. 4, pp. 109-116, Aug. 2020
    10.7472/jksii.2014.4.109
    Keywords: Rapid-transit railway, Railway, Deep Learning, Fusion
  3. 3. A Comparative Study on the Effective Deep Learning for Fingerprint Recognition with Scar and Wrinkle
    JunSeob Kim, BeanBonyka Rim, Nak-Jun Sung, Min Hong, Vol. 21, No. 4, pp. 17-23, Aug. 2020
    10.7472/jksii.2020.21.4.17
    Keywords: Deep Learning, Biometric information, 2D Convolutional Neural Network, discriminating of scar fingerprint, discriminating of wrinkle fingerprint
  4. 4. Real-time Human Pose Estimation using RGB-D images and Deep Learning
    Beanbonyka Rim, Nak-Jun Sung, Jun Ma, Yoo-Joo Choi, Min Hong, Vol. 21, No. 3, pp. 113-121, Jun. 2020
    10.7472/jksii.2020.21.3.113
    Keywords: Human Pose Estimation, human skeleton tracking, Keypoint Localization, Deep Learning
  5. 5. LSTM-based Business Process Remaining Time Prediction Model Featured in Activity-centric Normalization Techniques
    Seong-Hun Ham, Hyun Ahn, Kwanghoon Pio Kim, Vol. 21, No. 3, pp. 83-92, Jun. 2020
    10.7472/jksii.2020.21.3.83
    Keywords: predictive process monitoring, remaining time prediction, LSTM model, Deep Learning, Process Mining
  6. 6. A Sketch-based 3D Object Retrieval Approach for Augmented Reality Models Using Deep Learning
    Myunggeun Ji, Junchul Chun, Vol. 21, No. 1, pp. 33-43, Feb. 2020
    10.7472/jksii.2020.21.1.33
    Keywords: Convolutional Neural Network, object retrieval, Deep Learning, Sketch-based 3D object retrieval, Augmented Reality
  7. 7. A layered-wise data augmenting algorithm for small sampling data
    Hee-chan Cho, Jong-sub Moon, Vol. 20, No. 6, pp. 65-72, Dec. 2019
    10.7472/jksii.2019.20.6.65
    Keywords: Deep Learning, data augmentation, Eigen decomposition
  8. 8. A Study on Model for Drivable Area Segmentation based on Deep Learning
    Hyo-jin Jeon, Soo-sun Cho, Vol. 20, No. 5, pp. 105-111, Oct. 2019
    10.7472/jksii.2019.20.5.105
    Keywords: Drivable area segmentation, segmentation, Deep Learning, DeepLab V3+, Mask R-CNN, BDD Dataset
  9. 9. Handwritten One-time Password Authentication SystemBased On Deep Learning
    Zhun Li, HyeYoung Lee, Youngjun Lee, Sooji Yoon, Byeongil Bae, Ho-Jin Choi, Vol. 20, No. 1, pp. 25-37, Feb. 2019
    10.7472/jksii.2019.20.1.25
    Keywords: Deep Learning, Handwriting Recognition, Writer Verification, Authentication System, One-time password, FIDO
  10. 10. Sketch-based 3D object retrieval using Wasserstein Center Loss
    Myunggeun Ji, Junchul Chun, Namgi Kim, Vol. 19, No. 6, pp. 91-99, Dec. 2018
    10.7472/jksii.2018.19.6.91
    Keywords: Convolutional Neural Network, Image retrieval, Deep Learning, Sketch-based 3D object retrieval

Templates

Category Search






Publications







Crossref logo